This work presents a procedure for camera calibration using artificial neural networks of the type back propagation perceptron. Camera calibration is employed in computer vision for pose determination and it requires a solution of non-linear system of equations. By employing neural network, it becomes unnecessary to know the parameters of the cameras, such as focus, distortions besides the geom...

Motivated by applications in ad-hoc camera networks, we present distributed algorithms for the automatic, external, consistent, metric calibration of a network of cameras distributed over a large geographical area with no centralized processor. First, we model the set of uncalibrated cameras as nodes in a communication network, and propose a distributed algorithm in which each camera only commu...

Smart camera networks provide the opportunity to detect, classify, and trace visual events by means of a wireless network of embedded computing devices equipped with camera sensors. Previous research in this area has largely focused on custom hardware solutions. In contrast, we propose to use mobile phones as a portable and low-cost platform to implement smart camera networks. Due to mass produ...

Wireless Sensor Networks (WSN) mainly deal with scalar data such as temperature, humidity, and light which are very suitable for low rate and low power IEEE 802.15 based networking technology. The commercial off-the-shelf (COTS) CMOS camera has fostered researchers to push WSN a step further. The unique properties of multimedia data delivery pose fresh challenges for resource constrained sensor...

Dynamic Scenes and Camera Networks

Wireless camera sensor networks have to balance the conflicting challenges imposed by the detection performance, latency and lifetime requirements in surveillance applications. While previous studies for camera sensor networks have addressed these issues separately, they have not quantified the trade-offs between these requirements. In this paper, we discuss the design and implementation of SCO...

Digital surveillance systems are ubiquitous and continuously generate massive amounts of data, manual monitoring is required in order to recognise human activities public areas. Intelligent that can automatically ide.pngy normal abnormal highly desirable, as these would allow for efficient by selecting only those camera feeds which occurring. This paper proposes an energy-efficient prioritisati...

Abstract This paper considers the area of digital forensics (DF). One problem in DF is issue identification cameras based on images. aspect has been attractive recent years due to popularity social media platforms like Facebook, Twitter etc., where lots photographs are shared. Although many algorithms and methods for camera have proposed, there lack research about their robustness. Therefore, t...